# Computer Science & Machine Learning

### Current Curriculums

- Princeton University: Algorithms Part I [Course]
- Khan Academy: Multivariable calculus [Course]
- MITx: 6.041x Introduction to Probability - The Science of Uncertainty [Course]

### Next Steps

- Princeton University: Algorithms Part II [Course]
- Stanford University: Statistical Learning [Course]
- Deeplearning.ai [Course]

### Done

- UTAustinX: UT.5.04x LAFF: Linear Algebra - Foundations to Frontiers [Course] [100%]
- The Ohio State University: Calculus Two - Sequences and Series [Course] [100%]
- Stanford University: Machine Learning [Course] [99.6%]
- The Ohio State University: Calculus One [Course] [100%]
- MITx: 6.00.2x Introduction to Computational Thinking and Data Science [Course] [93%]
- UTAustinX: UT.9.10x Effective Thinking Through Mathematics [Course] [NaN]
- HarvardX: CS50 Introduction to Computer Science [Course]